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Neural motion and evolutionary decision in robotic competition applied for molecular machine system design

: Silva, A.C. da

IEEE Control Systems Society:
IEEE International Conference on Control Applications 2002. Proceedings : Joint Conference on Control Applications and the Computer-Aided Control System Design Symposium, September 18 - 20, 2002, Scottish Exhibition and Conference Centre, Glasgow, Scotland, UK
Piscataway, NJ: IEEE, 2002
ISBN: 0-7803-7388-X
International Symposium on Computer-Aided Control System Design (CACSD) <2002, Glasgow>
International Conference on Control Applications <2002, Glasgow>
Conference Paper
Fraunhofer IGD ()
evolutionary decision; molecular machine; 3d visualization; nanomedicine; nanorobot; evolutionary competitive agent; robustness; neural network; motion control; optimisation; sensor based system; nano-planning system

Summary form only given. The author presents a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application for nanomedicine. The problem under study concentrates its main focus on the design of autonomous nanorobots for assembly manipulation and the use of evolutionary competitive agents as a suitable way to warranty the robustness of such proposed model. Furthermore, the work presents also the use of neural networks as the most practical approach for the problem of robot motion optimisation using a sensor based system. Thereby the paper addresses distinct aspects of the main techniques required to achieve a successful nano- planning system design and its simulation with a real time 3D visualization.